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Martech · Tealium × AI
Australian tech leader · 6 markets

Wiring a CDP into a live AI stack.

One of Australia's leading technology companies needed to feed their in-house AI models with clean, real-time, consent-aware behavioural data - across 6 markets, web, app and backend services. We architected and delivered one of the most complex Tealium rollouts in APAC, built specifically to integrate with their proprietary AI infrastructure.

300+
Unified events across web, app & server
−70%
Data latency (event → AI model)
AI model input quality (vs. legacy pipe)
−55%
Tag governance & QA time

The brief

Replace a fragmented GTM + Segment implementation with a single, governed, real-time data backbone - and integrate it natively with the client's AI inference layer.

The integration

Bi-directional: events stream from Tealium into the AI stack in under a second, and model outputs flow back into AudienceStream as live attributes used for activation.

The constraint

Six privacy regimes, zero-tolerance for downtime and a production AI stack already dependent on the legacy data pipe during the entire migration window.

What we were up against

The stack we built

Tealium iQ Tag Management

Single source of truth for client-side tagging across web and app. Consolidated 40+ vendor tags behind a normalised data layer with strict naming conventions and a versioned extension library.

Tealium EventStream (CDH)

Server-side event collection from web, mobile SDKs and backend services. Real-time fan-out to vendor endpoints, the client's AI inference layer, BigQuery and Snowflake - with per-destination transformations.

Tealium AudienceStream

Real-time visitor stitching across devices and channels. Audience attributes computed on the fly from 80+ enrichments, then fed back into the AI model and out to activation endpoints.

Custom AI integration

Bi-directional connector between Tealium and the client's in-house AI stack - sub-second event delivery in, model scores and predicted segments back out into AudienceStream as live attributes.

Consent & governance

OneTrust integrated with Tealium Consent Manager. Per-region purpose mapping (GDPR, CCPA, Australian Privacy Act), consent state propagated server-side to every downstream destination.

Observability

Custom Datadog dashboards on EventStream throughput, vendor delivery success, schema-validation failures and AI-pipeline lag. PagerDuty alerts on anomaly detection per event class.

How we delivered it

01

Discovery & data layer design

Audited every existing tag, event and destination. Designed a normalised, versioned data layer with a strict JSON schema, mapped to the AI team's feature requirements.

02

Parallel build

Stood up Tealium iQ, EventStream and AudienceStream in a sandbox profile alongside the legacy stack. Built every connector, extension and audience in code (Tealium API + Git) for reviewability.

03

AI integration

Built the bi-directional connector to the client's AI stack - EventStream → model in, model scores → AudienceStream attributes out. Validated end-to-end latency under 800ms p95.

04

Shadow mode & QA

Ran the new pipeline in shadow alongside legacy for 3 weeks. Reconciled events at 99.97% parity before cutover. Automated regression tests on every tag deployment.

05

Cutover & enablement

Region-by-region cutover with traffic-mirroring and instant rollback. Trained the client's analytics, AI and marketing teams on the new governance model and runbooks.

The outcome

300+ events were unified behind a single governed schema. End-to-end event-to-AI latency dropped 70% (from multi-second batch to sub-second streaming). The AI team reported a 3× improvement in input data quality, directly improving model precision on key personalisation tasks. Tag governance and QA time fell 55%, and the client now ships new marketing tags and AI features in days rather than weeks - without compromising consent or compliance in any of the 6 markets.